Assessment of a New System to Detect, Quantify and Treat Near Falls in Older Adults

Tel-Aviv Sourasky Medical Center20 enrolled

Overview

The study is aimed to assess a new system for the automatic detection, quantification and treatment of Near Fall (NF) episodes in healthy older adults with a history of falls. The system is comprized of a treadmill and a virtual reality simulation which provides a motor-cognitive challenge to provoke NF. The challenges provided by the system are individualized and using machine learning algorithms will enable the identification and detection of NF under different conditions and allow for the most suitable treatment.

Study Type

OBSERVATIONAL

Enrollment

Conditions

Idiopathic Fallers

Interventions

new system to detect Near FallsDEVICE

We will invite healthy older adults with a history of falls to try the new system and assess whether the new system can induce, detect and quantify Near Fall episodes

Eligibility

Sex: ALLMin age: 60 YearsMax age: 85 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion Criteria: 1. Healthy older adults with a history of falls or complaints of gait instability 2. Able to walk independently for at least 10 minutes Exclusion Criteria: 1. Systemic chronic or acute pathologies: 1. Ischemic heart disease 2. Orthopedic or Rheumatic diseases 3. Severe vision problems 4. Neurological disease: PD, AD, CVA 2. Patients who underwent brain surgery in the last 6 months prior to the study